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基于FCM算法的粗糙集理论在边坡稳定性影响因素敏感性分析中的应用
引用本文:于怀昌,刘汉东,余宏明,刘娉慧.基于FCM算法的粗糙集理论在边坡稳定性影响因素敏感性分析中的应用[J].岩土力学,2008,29(7):1889-1894.
作者姓名:于怀昌  刘汉东  余宏明  刘娉慧
作者单位:1. 中国地质大学工程学院,武汉 430074;华北水利水电学院,郑州 450011
2. 华北水利水电学院,郑州,450011
3. 中国地质大学工程学院,武汉,430074
摘    要:结合粗糙集理论与模糊C-均值(FCM)算法,提出一种边坡稳定性影响因素敏感性分析新方法.将边坡稳定性影响因素敏感性分析问题转化为粗糙集理论中的属性重要性评价问题,采用FCM算法离散连续属性数据,给出敏感性分析的具体算法.以圆弧型破坏边坡为例,对影响边坡稳定性的单因素与多因素敏感性进行分析,证明了该方法的可行性和有效性.

关 键 词:边坡稳定性  敏感性分析  粗糙集  属性重要性  模糊C-均值(FCM)算法  具体算法  粗糙集理论  边坡稳定性  稳定性影响  因素敏感性分析  应用  algorithm  based  slope  stability  influencing  factors  sensitivity  analysis  rough  set  有效性  单因素  破坏  圆弧型  属性数据  连续  离散  分析问题
收稿时间:2006-10-17

Application of rough set to sensitivity analysis of influencing factors for slope stability based on FCM algorithm
YU Huai-chang,LIU Han-dong,YU Hong-ming,LIU Pin-hui.Application of rough set to sensitivity analysis of influencing factors for slope stability based on FCM algorithm[J].Rock and Soil Mechanics,2008,29(7):1889-1894.
Authors:YU Huai-chang  LIU Han-dong  YU Hong-ming  LIU Pin-hui
Institution:1. Faculty of Engineering, China University of Geosciences, Wuhan 430074, China; 2. North China university of Water Conservancy and Hydroelectric Power, Zhengzhou 450011,China
Abstract:A new method based on the rough set theory and the fuzzy C-means algorithm is proposed to analyze the sensitivity of the influencing factors for slope stability. According to this method, the problem of the sensitivity analysis of the influencing factors for slope stability is translated into the problem of evaluating significance of attributes among the rough set theory. The fuzzy algorithm is then introduced to discretize continuous attributes; and the assessment model is set up to achieve the sensitivity analysis. Taking the circular slip slope for example, the sensitivity analysis of the influencing single factor and multiple factors for slope stability is performed; and it is shown that the proposed method is feasible and effective.
Keywords:slope stability  sensitivity analysis  rough set  attribute significance  fuzzy C-means algorithm  
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